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Databricks Partners with OpenAI to Deliver Enterprise AI Models

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Databricks announced on Thursday a partnership with OpenAI to bring the ChatGPT maker’s artificial intelligence models directly into its platforms for enterprise clients.

Under the deal, OpenAI’s models will be integrated into Databricks’ cloud-based analytics platform as well as its flagship Agent Bricks product, which helps businesses design, test, and scale custom AI applications and agents. The agreement is expected to generate $100 million in revenue, according to Databricks.

The move marks another step in OpenAI’s expansion beyond its long-time cloud partner Microsoft Azure, as it seeks to accelerate adoption of its tools among corporate users. For Databricks, the deal strengthens its hand against rival Snowflake, which is still in early development of its AI services.

“We’re seeing overwhelming demand from enterprise customers looking to build AI apps and agents on their data, tailored to their unique business needs,” said Databricks CEO Ali Ghodsi.

OpenAI’s GPT-5 will serve as a flagship model for more than 20,000 Databricks enterprise customers, the company said.

The agreement builds on an existing partnership: OpenAI already uses Databricks to process AI data, which supports improvements in ChatGPT. Databricks was also among the first to host gpt-oss, OpenAI’s open-weight models that specialize in advanced reasoning.

The announcement comes shortly after Databricks closed a $1 billion funding round, pushing its valuation to $100 billion and securing its place among the world’s most valuable private tech firms.

OpenAI Launches Open-Weight Reasoning Models Optimized for Laptop Use

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OpenAI announced on Tuesday the release of two open-weight language models designed for advanced reasoning tasks and optimized to run efficiently on laptops, delivering performance comparable to its smaller proprietary reasoning models. Unlike fully open-source models, open-weight models provide publicly accessible trained parameters (weights) but do not include full source code or training data, allowing developers to run and fine-tune them locally or behind their own firewalls.

OpenAI co-founder Greg Brockman highlighted that the ability to operate these models locally offers users greater control over security and infrastructure. The two models, gpt-oss-120b and gpt-oss-20b, differ in size: the larger model runs on a single GPU, while the smaller one can run directly on personal computers. Both excel at coding, competitive mathematics, and health-related questions, having been trained on text-focused datasets with an emphasis on science and math.

Separately, Amazon Web Services (AWS) announced that OpenAI’s open-weight models are now available on its Bedrock generative AI marketplace—a first for OpenAI on the platform. Bedrock director Atul Deo praised the models as strong open-weight options for AWS customers.

This launch marks OpenAI’s first release of open models since GPT-2 in 2019, entering a competitive landscape that includes Meta’s Llama series and China’s DeepSeek-R1, both of which have influenced open-weight and open-source AI development trajectories this year.

OpenAI, backed by Microsoft and valued at around $300 billion, is currently seeking to raise up to $40 billion in a funding round led by Softbank Group.